-
Handbuch Web Mining im Marketing : Konzepte, Systeme, Fallstudien (2002)
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- Editor
- Hippner, H. et al.
-
Schmid, J.: Data mining : wie finde ich in Datensammlungen entscheidungsrelevante Muster? (1999)
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- Source
- ARBIDO. 14(1999) H.5, S.11-13
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Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000)
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- Footnote
- Rez. in: nfd 52(2001), H.7, S.427-428 (T. Mandl)
-
Keim, D.A.: Data Mining mit bloßem Auge (2002)
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- Source
- Spektrum der Wissenschaft. 2002, H.11, S.88-91
-
Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002)
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- Source
- Spektrum der Wissenschaft. 2002, H.11, S.80-81
-
Wrobel, S.: Lern- und Entdeckungsverfahren (2002)
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- Source
- Spektrum der Wissenschaft. 2002, H.11, S.85-87
-
Brückner, T.; Dambeck, H.: Sortierautomaten : Grundlagen der Textklassifizierung (2003)
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- Source
- c't. 2003, H.19, S.192-197
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Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002)
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- Source
- Spektrum der Wissenschaft. 2002, H.11, S.82-84
-
Tiefschürfen in Datenbanken (2002)
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- Source
- Spektrum der Wissenschaft. 2002, H.11, S.80-91
-
Nohr, H.: Big Data im Lichte der EU-Datenschutz-Grundverordnung (2017)
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-
Winterhalter, C.: Licence to mine : ein Überblick über Rahmenbedingungen von Text and Data Mining und den aktuellen Stand der Diskussion (2016)
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- Source
- 027.7 Zeitschrift für Bibliothekskultur. 4(2016), H.2
-
Ku, L.-W.; Chen, H.-H.: Mining opinions from the Web : beyond relevance retrieval (2007)
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-
Tu, Y.-N.; Hsu, S.-L.: Constructing conceptual trajectory maps to trace the development of research fields (2016)
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- Abstract
- This study proposes a new method to construct and trace the trajectory of conceptual development of a research field by combining main path analysis, citation analysis, and text-mining techniques. Main path analysis, a method used commonly to trace the most critical path in a citation network, helps describe the developmental trajectory of a research field. This study extends the main path analysis method and applies text-mining techniques in the new method, which reflects the trajectory of conceptual development in an academic research field more accurately than citation frequency, which represents only the articles examined. Articles can be merged based on similarity of concepts, and by merging concepts the history of a research field can be described more precisely. The new method was applied to the "h-index" and "text mining" fields. The precision, recall, and F-measures of the h-index were 0.738, 0.652, and 0.658 and those of text-mining were 0.501, 0.653, and 0.551, respectively. Last, this study not only establishes the conceptual trajectory map of a research field, but also recommends keywords that are more precise than those used currently by researchers. These precise keywords could enable researchers to gather related works more quickly than before.
-
Raghavan, V.V.; Deogun, J.S.; Sever, H.: Knowledge discovery and data mining : introduction (1998)
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Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
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- Date
- 2. 4.2000 18:01:22
-
Chen, H.; Chau, M.: Web mining : machine learning for Web applications (2003)
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